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AppNet: A Large-Scale Multi-layer Heterogeneous Complex App Network for Intelligent Program Search

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Service-Oriented Computing – ICSOC 2018 Workshops (ICSOC 2018)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 11434))

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Abstract

The resources of mobile application in the app stores contains a vast amount of code and knowledge, which is of great significance to intelligent program search technology, but how to organize and utilize these multi-source heterogeneous data efficiently and integrate semantic information is still a key problem. In this paper, WordNet based AppNet, a multi-layer heterogeneous complex app network model was proposed, it completely describes the hierarchical structure between app-related tags, attributes, and code and in which aims to explore its application in the intelligent program search. Firstly, we expound the construction mechanism of AppNet and describe how does it realize mapping with WordNet, and then two simple real application scenarios were conducted based on AppNet in which to verify its validity and feasibility. We believe that the proposed AppNet model will provide researchers with more efficient ideas in the field of intelligent software development and search.

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References

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Acknowledgements

This work is supported by the National Natural Science Foundation of China grant No.61572350 and the National Key R&D Program of China grant No.2017YFB1401201.

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Authors and Affiliations

  1. College of Intelligence and Computing, Tianjin University, Tianjin, China

    Jianmao Xiao, Shizhan Chen & Zhiyong Feng

  2. Computing Department, Macquarie University, Sydney, NSW, Australia

    Jian Yang

Authors
  1. Jianmao Xiao
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  2. Shizhan Chen
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  3. Zhiyong Feng
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  4. Jian Yang
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Corresponding author

Correspondence to Shizhan Chen .

Editor information

Editors and Affiliations

  1. Deakin University, Melbourne, VIC, Australia

    Xiao Liu

  2. University of Pau and Pays, Pau Cedex, France

    Michael Mrissa

  3. Fudan University, Shanghai Shi, China

    Liang Zhang

  4. LIRIS Lab, University Lyon 1, IUT, Villeurbanne Cedex, France

    Djamal Benslimane

  5. School of IT and Computer Science, University of Wollongong, Wollongong, NSW, Australia

    Aditya Ghose

  6. Harbin Institute of Technology, Harbin, China

    Zhongjie Wang

  7. Scientific and Technological Hub, Fondazione Bruno Kessler (FBK), Trento, Italy

    Antonio Bucchiarone

  8. Macquarie University, Sydney, NSW, Australia

    Wei Zhang

  9. Queen’s University, Kingston, ON, Canada

    Ying Zou

  10. Rochester Institute of Technology, Rochester, NY, USA

    Qi Yu

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Xiao, J., Chen, S., Feng, Z., Yang, J. (2019). AppNet: A Large-Scale Multi-layer Heterogeneous Complex App Network for Intelligent Program Search. In: Liu, X., et al. Service-Oriented Computing – ICSOC 2018 Workshops. ICSOC 2018. Lecture Notes in Computer Science(), vol 11434. Springer, Cham. https://doi.org/10.1007/978-3-030-17642-6_33

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  • DOI: https://doi.org/10.1007/978-3-030-17642-6_33

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-17641-9

  • Online ISBN: 978-3-030-17642-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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